A financial services company in Bengaluru is seeking a Risk Analyst to develop and review credit risk models and implement strategies throughout the lending life cycle. Candidates must have a B.Tech or M.Tech from a Tier1 college, with 3-6 years of risk management experience in a NBFC/Fintech environment. Strong skills in Python and SQL are mandatory, alongside a sound understanding of statistical models.
Qualifications
3-6 years of experience in managing risk in a NBFC/Fintech/Lending.
2+ years of experience in Python and SQL is mandatory.
Sound knowledge of statistical models.
Responsibilities
Development, Implement and Review of Credit Risk Models.
Implement & Monitor Credit Risk strategies across the lending life cycle.
Review portfolio on periodic basis across various risk metrics.
Skills
Python
SQL
Data analysis
Risk management
Statistical modeling
Education
B.Tech or M.Tech from Tier1 college
Job description
Risk Analyst
Responsibilities:
Development, Implement and Review of Credit Risk Models & Associated Frameworks in an unsecured rural/semi-urban lending context.
Implement & Monitor Credit Risk strategies across the lending life cycle-acquisition, underwriting, cross-sell & collections.
Review portfolio on periodic basis across various risk metrics for early warning signals and analyze portfolio trends to track portfolio quality on accepted risk parameters.
Ensure risk policies are timely reviewed and reflect the dynamic external environment and internal risk appetite.
Analyze industry data on a scale, preparation of MIS/Dashboards and apprising senior management on changing market conditions.
Regular review of processes for adherence on risk policies and check if controls are effectively in place and working.
Coordinate with Various internal teams for strengthening of risk framework.
Eligibility Criteria:
B.Tech or M.Tech from Tier1 college
3-6 years of experience in managing risk in a NBFC/Fintech/Lending.
2+ years of experience in Python and SQL is mandatory.
Excellent in understanding data & bringing insights.
Sound knowledge of statistical models.
Experience in Fintech/NBFC/Auto Finance/Lending Business will be an added advantage.